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    Logistics Data Scientist - Los Angeles, United States - Kitsch LLC

    Kitsch LLC
    Kitsch LLC Los Angeles, United States

    1 week ago

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    Description

    Job Description

    Job Description

    About Us

    KITSCH is proud to be recognized as a self-financed, female-owned global accessory brand built on positivity and pure hard work. Established in 2010, with a business plan no longer than a paragraph, Kitsch has grown from door to door sales to selling products in over 27 countries across 20,000 retail locations worldwide.

    KITSCH is committed to creating high-quality products that are effortless, elevated, and easy to use. From fashionable shower caps to our viral towel scrunchies, we aim to evolve your everyday essentials.

    We believe that everyone should feel confident when purchasing our products, no matter your hair type, style, or budget.

    The Role

    Kitsch is seeking a Logistics Data Scientist who will play a pivotal role in optimizing our logistics operations to drive efficiency and customer satisfaction across our distribution channels. This role requires a strong analytical mind, expertise in data science, and experience in logistics management.

    Job Responsibilities and Key Result Areas:

    Order and Returns Management

    • Manage and optimize the process of optimizing picking batches for direct-to-consumer orders, analyzing order batching and sequencing to enhance operational efficiency.
    • Oversee statistics on returns, analyze costs, and develop strategies to minimize losses while enhancing customer satisfaction.

    Shipping and Cost Analysis

    • Address issues with missing orders in ShipStation and implement preventive measures.
    • Regularly review and analyze freight costs to identify and implement cost-saving strategies.

    Advanced Analytics and Performance Metrics

    • Use predictive modeling and machine learning to optimize inventory and forecasting.
    • Establish and track KPIs to gauge and improve logistics performance.

    Sustainability and Customer Experience

    • Develop strategies to reduce the environmental impact of shipping and returns.
    • Leverage customer feedback to improve the shipping and returns processes.

    Inventory and Risk Management

    • Collaborate with supply chain to manage and predict inventory needs.
    • Identify risks in the logistics process and develop mitigation strategies.

    Business Collaboration

    • Partner with business stakeholders to understand reporting needs, develop, and deliver KPIs and scorecards.

    About You

    • Bachelor's or Master's degree in Data Science, Operations Research, or related field.
    • Proven experience in logistics and data analysis.
    • Proficiency in SQL, Python, R, and other analytics tools.
    • Strong problem-solving skills and attention to detail.
    • Experience manipulating raw data to meet business requests.
    • Working knowledge of warehouse management systems, inventory control best practices, and ShipStation; Shopify experience preferred.
    • Ability to work independently and within a team on multiple projects, receiving instructions from several people and meeting project deadlines.

    What We Bring To The Table

    • Competitive Pay/Benefits
    • A dynamic team
    • An open mind for new ideas
    • and some more growth

    Our Hiring Practices: KITSCH LLC is an equal opportunity employer. We are committed to work in an environment that supports, inspires, and respects all individuals and recruits on merit-based processes regardless of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship or other protected characteristics.

    The Location

    Kitsch's believes in a flexible work environment in which anyone can work from anywhere. This is why we've implemented our flexible location philosophy, meaning you get the best of both worlds: you can choose to work from home and /or from our office in Los Angeles.

    This is a Remote (work from home) post.


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